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Language Skills

R
Python
SQL
Neo4j/Cypher
MongoDB
PowerBI
DataRobot
VBA

Disclaimer

Made with the R package pagedown.

The source code is available on github.com/nuhorchak/resume.

Last updated on 2022-06-13.

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Nick Uhorchak

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I have worked on a variety of data science and operations research projects, ranging from simple statistical analysis to predictive modeling. I am currently working on a robust team of data scientists, computer scientists, and data engineers to harness the volume and velocity of Army NETCOM data.

Education

M.S., Operations Research

Air Force Instituite of Technology

Wright Patterson AFB, OH

2018 - 2016

  • Thesis: An Analysis of Incomplete SOCOM Selection Data (Distribution Statement D). Thesis focused on predictive modeling for Air Force Special Operations Command selection and training pipeline.
  • Inducted into Omega Rho, Instituite for Operations Research and Management Science Honor Society
  • Applied Statistics Track Data Science Certificate

B.S., Information Technology

United States Military Academy

West Point, NY

2008 - 2004

  • Selected as one of three MVPs during execution of the Cyber Defense Exercise, for performance as team leader in the larger group project

Industry Experience

Data Scientist

Network Enterprise Technology Command (NETCOM)

Fort Huachuca, AZ

Current - 2021

  • Data Scientist in Network Operations Analysis Division, Data Science Directorate.
  • Responsible for data aggregation, cleaning, and transformation for endpoint discovery, management, and analysis to support G3.

ORSA / Data Scientist

US Special Operations Command (SOCOM)

MacDill AFB, FL

2021 - 2018

  • Data Science (R1J) qualified Operations Research Systems Analyst, serving as an data scientist in a combatant command headquarters.
  • Responsible for multiple data science efforts, including predictive, prescriptive and statistical modeling
  • Rated top junior data scientist in the organization, and commended for performance beyond current pay grade




Operational Experience

Company Commander

1-63 AR, 2ABCT, 1ID

Fort Riley, KS

2016 - 2014

Brigade Planner

2ABCT, 1ID

Fort Riley, KS

2014 - 2013

Division Training Officer

1ID

Fort Riley, KS

2013 - 2012

Platoon Leader

2-7 CAV, 4ABCT, 1CD

Fort Hood, TX

2011 - 2009




Honors Received

Omega Rho Honor Society

INFORMS

AFIT Chapter

Current - 2018

  • Inducted into Omega Rho Honor Society for academic excellence through GPA greater than 3.75

Iron Eagle Award

United States Military Academy

CS Department

2008 - 2008

  • Awarded Iron Eagle MVP award (1 of 5) for contributions and excellent teamwork beyond expectations during 2008 Cyber Defense Exercise.

Selected Data Science Writing

These blogs represent interesting topics that presented themselves during an operational project.

Writing Efficient Code - Part 1

https://dscoe.org (CAC Enabled)

https://github.com/nuhorchak/blogs/tree/master/writing_efficient_code_p1

2020

  • 1 of 3 part blog discussing how to write optimal code. This section focuses on the basic data constructs used in the R programming language, and how they can be used to write better (faster) code.

Writing Efficient Code - Part 2

https://dscoe.org (CAC Enabled)

https://github.com/nuhorchak/blogs/tree/master/writing_efficient_code_p2

2020

  • 2 of 3 part blog discussing how to write optimal code. This section focuses on the basic data constructs used in the python programming language, and how they can be used to write better (faster) code.

Writing Efficient Code - Part 3

https://dscoe.org (CAC Enabled)

https://github.com/nuhorchak/blogs/tree/master/writing_efficient_code_p3

2020

  • 3 of 3 part blog discussing how to write optimal code. This section compares R and Python, and discusses how utilizing the native data constructs in each language gains efficiency, speed, and memory usage.

Selected Reserach

Analysis of Incomplete SOCOM Selection Data

Air Force Instituite of Technology

Wright Patterson AFB, OH

2018 - 2017

  • Research for my masters thesis entailed supervised learning method for personnel selection.
  • Additonal research necessary to handle sparse data, delved deep into imputation methods and theory, to facilitate data completion.
  • Research in all areas was translated into teaching lessons to support Dr. Raymond Hill, for multivariate analyis class.